def __init__(self, Inputs, Width, Height, Iterations=1, Name=""):
NeuralNet.__init__(self,
Inputs,
Outputs=0,
Layers=Width,
NeuronsPerLayer=Height,
Name=Name)
# Remove uneeded member variables.
del self.NumberOfOutputs, self.NumberOfNeuronsPerLayer, self.NumberOfLayers, self.HasBiasLayer
#
self.transferSynapses = dict()
tmp = TransferSynapse(self)
#
self.Map = None
#
self.Width = Width
#
self.Height = Height
#
self.inputLayer = None
#
self.totalIterations = Iterations
#
self.iteration = 1
def __init__ (self, Inputs, Width, Height, Iterations=1, Name=""):
NeuralNet.__init__ (self, Inputs, Outputs=0, Layers=Width, NeuronsPerLayer=Height, Name=Name)
# Remove uneeded member variables.
del self.NumberOfOutputs, self.NumberOfNeuronsPerLayer, self.NumberOfLayers, self.HasBiasLayer
#
self.transferSynapses = dict ()
tmp = TransferSynapse (self)
#
self.Map = None
#
self.Width = Width
#
self.Height= Height
#
self.inputLayer = None
#
self.totalIterations = Iterations
#
self.iteration = 1
def __init__(self,
Inputs,
Outputs,
Layers=None,
NeuronsPerLayer=None,
Name=""):
""" Pass the arguments to the parent class. """
NeuralNet.__init__(self, Inputs, Outputs, Layers, NeuronsPerLayer,
Name)
def __init__ (self, Inputs, Outputs, Layers=None, NeuronsPerLayer=None, \
AddBias=False, StepActivation=None, Name=""):
NeuralNet.__init__ (self, Inputs, Outputs, Layers, NeuronsPerLayer, Name)
if AddBias:
self.HasBiasLayer = True
# Temporary layers
self._TempLayers = list ()
def __init__ (self, Inputs, Outputs, Layers=None, NeuronsPerLayer=None, \
AddBias=False, StepActivation=None, Name=""):
NeuralNet.__init__(self, Inputs, Outputs, Layers, NeuronsPerLayer,
Name)
if AddBias:
self.HasBiasLayer = True
# Temporary layers
self._TempLayers = list()
def __init__ (self, Inputs, Outputs, Layers=None, NeuronsPerLayer=None, Name=""):
""" Pass the arguments to the parent class. """
NeuralNet.__init__ (self, Inputs, Outputs, Layers, NeuronsPerLayer, Name)
